{"title":"Sustainable Pathways: An Integrated Dynamic Network Eco-Efficiency Approach to Evaluate Passenger Road Transportation","authors":"Saransh Tiwari, Sanjeet Singh, Utsav Pandey","doi":"10.1155/atr/7432179","DOIUrl":"https://doi.org/10.1155/atr/7432179","url":null,"abstract":"<p>Passenger road transport is a cornerstone of social connectivity and economic growth, providing essential mobility for millions while supporting trade, employment, and development. However, its environmental impact, particularly high emissions and energy consumption, presents a significant challenge for advancing sustainability, reducing carbon footprints, and fostering cleaner, more resilient environments. Addressing these concerns requires a comprehensive assessment of operational, economic, and environmental performance of transportation authorities. Yet, existing research treats passenger road transportation process as a “black-box,” failing to capture their internal structures and multistage complexities. Also, conventional assessment frameworks often overlook undesirable outputs. Moreover, given the capital-intensive nature of passenger road transportation units (PRTUs), single-period optimization models may be inadequate for assessing long-term efficiency. To bridge these gaps, this study introduces an innovative framework that integrates dynamic network data envelopment analysis with weak disposability reference technology. This approach evaluates PRTUs by accounting for both desirable and undesirable outputs while considering their network structure and temporal effects. Applying this framework to State Road Transport Undertakings (SRTUs) in India, we identify inefficiencies arising from capital misallocation and price controls. Empirical findings highlight the significant role of bus utilization and hired buses in enhancing SRTU efficiency, as demonstrated through fractional regression analysis. By offering a more nuanced understanding of PRTU performance, this study provides actionable insights for policymakers, enabling data-driven decisions that enhance operational efficiency and promote sustainable transport systems.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7432179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Network Risk Identification of Moving Targets in Flight Area Based on Community State","authors":"Duyi Zhou, Xinglong Wang, Yanfeng Xu","doi":"10.1155/atr/7739607","DOIUrl":"https://doi.org/10.1155/atr/7739607","url":null,"abstract":"<p>With the continuous increase of China’s air traffic volume, the number of aircraft and support vehicles in the airfield area is increasing. In view of the increasingly complex surface traffic situation, the risk of conflict in the airfield area is increasing. In this paper, first, taking the large moving targets in the airfield as the network nodes and the potential conflict relationship between the targets as the connecting edge, the network model of the moving targets in the airfield is constructed. On this basis, the community structure detection algorithm is used to detect the active target community in the flight area, and the <i>K</i>-means clustering algorithm is used to divide the risk level of the network in time according to the state characteristics of the cluster, so as to identify the high-risk moments in the airfield area. Finally, for the three indicators of node selection degree, point strength and weighted clustering coefficient at high-risk time, the combination weighting method is used to identify the potential conflict of nodes and accurately identify high-risk nodes in space. Finally, taking Xi’an Xianyang Airport as an example, the experimental results show that the conflict classification and risk identification method proposed in this paper can accurately identify the conflict risk in the flight area in time and space.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7739607","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing Bus Rapid Transit Systems: A Simulation Approach to Scheduling","authors":"Safwan Altarazi, Nadia Janho","doi":"10.1155/atr/4048179","DOIUrl":"https://doi.org/10.1155/atr/4048179","url":null,"abstract":"<p>Driven by increasing urbanization and traffic congestion challenges, efficient and cost-effective public transportation solutions have become essential, positioning bus rapid transit (BRT) systems as an attractive alternative to conventional modes. This study presents a comprehensive discrete-event simulation (DES) model developed to optimize scheduling in BRT systems, focusing on the recently implemented BRT line in Amman, Jordan. The model integrates real-world operational constraints—including dynamic passenger arrivals modeled as Poisson processes, boarding and alighting behaviors, and signaling for departures—with detailed representations of both peak and off-peak conditions. By generating multiple what-if scenarios, the simulation investigates critical trade-offs between minimizing passenger waiting times and maximizing fleet utilization, demonstrating that under the current publicly funded model, reducing the number of buses during off-peak hours effectively lowers operational costs while maintaining service quality. Furthermore, the flexibility of the simulation framework permits adaptation to alternative funding models, where increased off-peak frequencies may be prioritized to enhance ridership. Validated against empirical operational data, the model serves as a robust decision-support tool that provides valuable insights for urban planners and transit operators seeking to improve resource allocation and service design in modern urban transit systems.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/4048179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147564904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transfer Connection Optimization of Urban Rail Transit Based on Transfer Perception","authors":"Junsheng Huang, Zaixing Chen, Qin Luo","doi":"10.1155/atr/6690783","DOIUrl":"https://doi.org/10.1155/atr/6690783","url":null,"abstract":"<p>In urban rail transit networks, transfer connections between lines during off-peak hours significantly impact passenger experience. Our study introduces a novel approach to optimize these connections based on perceived waiting time. First, we established a functional relationship between actual transfer waiting time and transfer perceived waiting time (TWT–TPWT) across various scenarios, based on passenger arrival sequences at transfer platforms. We then developed an optimization model that minimizes total TPWT network wide by weighting transfer passenger volumes in each direction, while incorporating constraints related to train arrival/departure time at transfer stations. Using the Shenzhen Metro network’s off-peak period as a case study, we implemented an improved simulated annealing algorithm to solve the model. Results demonstrate that our TWT–TPWT approach substantially enhances transfer connection efficiency: “just in time” connecting trains increased by 19, long-waiting connections decreased by 16, and both total and average TPWTs decreased by 28.38%. Furthermore, we conducted sensitivity analyses on key model and algorithmic factors, including station dwelling time, train departure intervals, transfer walking time, and the algorithm’s reheating mechanism, providing insights for practical implementation.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6690783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147564484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling Subsidy Strategies for the China-Europe Railway Express Based on Evolutionary Game Theory","authors":"Yu Lin, Shuai Tang, Mengru Yuan, Dongxu Chen","doi":"10.1155/atr/2995316","DOIUrl":"https://doi.org/10.1155/atr/2995316","url":null,"abstract":"<p>Government subsidies have been instrumental in fostering the development of the China-Europe Railway Express (CERE), yet the continued implementation without thought has led to significant market distortions and inefficiency, raising a critical policy dilemma: whether to maintain, reduce, or phase out subsidies. To address this question, this paper employs an evolutionary game model to examine the strategic interactions between local governments and railway companies. We analyze their evolutionarily stable strategies (ESS) and evaluate the cumulative utility of local governments under varying subsidy schemes. The key findings indicate: (1) railway companies consistently prefer high-frequency shift (HFS) operations, irrespective of subsidy schemes; (2) the ESS for the local governments is highly sensitive to human resource costs and opportunity cost; (3) the initial probabilities of HFS and subsidy strategies affect the convergence speed towards ESS but do not alter the final ESS; and (4) the optimal subsidy scheme can maximize local governments’ cumulative utility. By integrating these findings into a multiperiod cumulative-utility framework, the study provides a basis for determining strategic subsidy levels that improve governmental welfare while reducing long-term subsidy dependence. These results offer actionable guidance for designing more targeted, transition-sensitive, and fiscally sustainable CERE subsidy policies.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2995316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147564483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Path Optimization for UAV-Vehicle Collaboration in Emergency Rescue","authors":"Shouqiang Xue, Weichuan Yin, Yun Xiao, Hongwu Wang, Yufan Wei","doi":"10.1155/atr/8498460","DOIUrl":"https://doi.org/10.1155/atr/8498460","url":null,"abstract":"<p>With the rapid development of the low-altitude economy, unmanned aerial vehicles (UAVs) have exhibited enormous potential in emergency rescue and material delivery fields due to their flexibility; however, individual UAVs are often constrained by endurance issues. This paper focuses on rescue scenarios in complex terrains such as mountainous forests and considers service distances, while designing a UAV-Vehicle collaborative delivery model. It constructs a dual algorithm based on clustering optimization and large-scale adaptive neighborhood search (ALNS-Kmeans++), enabling rapid optimization of the problem. Using a benchmark dataset as a sample, the study compares Genetic Algorithms (GA), Tabu Search (TS), and Ant Colony Optimization (ACO). In terms of solution results (total distance cost), ALNS outperforms GA, TS, and ACO by 27.2%, 23.2%, and 23.4%, respectively. The ALNS-Kmeans++ algorithm integrating the clustering strategy shows better comprehensive practicability. It achieves suboptimal solution result (total distance cost) with the smallest fleet size (7.0% worse than ALNS), but its computational speed is 5.5% faster than that of the ALNS algorithm. In the validation within a rescue case study within tropical rainforests in Yunnan, this delivery model achieves efficient collaboration among three rescue vehicles and six UAVs. Emergency rescue can achieve full coverage and cost reduction through the strategy of dynamic relocation of fewer vehicles and collaborative UAVs. By the clustering optimization and dynamic adjustment of the ALNS-Kmeans++, the efficiency of rescue tasks can be enhanced. It provides a replicable solution for the scenario-based implementation of the emergency rescue system.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8498460","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147563704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tangzhi Liu, Chongling Liu, Wenjing Zhou, Pan Wu, Meng Wang, Shuang Deng, Song Wang
{"title":"Comprehensive Behavior Spectrum Analysis of Risky Driving Behaviors on Mountain Curves","authors":"Tangzhi Liu, Chongling Liu, Wenjing Zhou, Pan Wu, Meng Wang, Shuang Deng, Song Wang","doi":"10.1155/atr/4027205","DOIUrl":"https://doi.org/10.1155/atr/4027205","url":null,"abstract":"<p>Constrained by complex topography, mountain roads with tight bends and steep slopes show inherently high-risk traits, with accident rates several times higher than on ordinary roads. Dynamic driving behaviors and complex environmental interferences have long hindered risk assessment due to fragmented data and static analysis. Previous studies rely on single-variable analysis or laboratory simulations, lacking real-world on-road data validation, thus keeping risk assessment at an empirical level and impeding precise high-risk behavior tracking. To address this, on-road experiments were conducted on eight typical sharp curves of Chongqing’s X429 County Road, collecting 512 groups of trajectory data from 32 experienced drivers via high-precision sensors. First, a mountainous driving behavior risk spectrum is constructed. Key findings show sharp steering is the core risk factor (risk weight: 0.3558), outpacing other behaviors. Correlation coefficients among speeding, sudden speed and direction changes, and lane deviation are all < 0.3, demanding independent control measures. Risky driving behaviors aggregate spatially: speeding and speed changes predominantly occur on precurve straights and postcurve slopes, while lane deviation and sudden direction changes occur within curves and at transition points, aligning with accident hotspots. In this study, the first data-driven risk spectrum for mountainous sharp curves is established, overcoming traditional single-factor limitations. Findings support road design optimization and intelligent early warnings, fostering proactive risk control in mountain roads.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/4027205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147562499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing Lane Transition Zone Length and Minimum Entry Clearance Distance in Merging Areas With Longitudinal Traffic Separator for Expressway Reconstruction and Expansion","authors":"Baoguo Luo, Yunfei Wang, Qi Yang, Xu Chen, Binghong Pan, Yutong Liu","doi":"10.1155/atr/6659242","DOIUrl":"https://doi.org/10.1155/atr/6659242","url":null,"abstract":"<p>Merging-zone safety remains a critical challenge in transportation engineering due to frequent severe accidents and insufficient research on longitudinal traffic separator (LTS) configurations and the limited availability of evidence-based guidance for LTS openings in interchange merging areas. This study addresses this gap by developing a physics-informed computational framework to optimize lane transition zone (LTZ) length and minimum entry clearance distance (MECD). Specifically, (i) UAV videos collected at three Xi’an Ring Expressway interchanges (438 vehicles) are processed using YOLOv5-based detection to extract vehicle trajectories; (ii) lane-changing kinematics are characterized using a modified hyperbolic-tangent trajectory model, and a gap-acceptance-based waiting component is incorporated to compute the required lane-changing and waiting distances for LTZ/MECD design; and (iii) the recommended values are evaluated via controlled simulation experiments across multiple design speeds and lane configurations using delay and conflict-rate metrics. Through the empirical analysis of 438 vehicles at three Xi’an Ring Expressway interchanges using a UAV and YOLOv5 to extract trajectories, the framework achieves dual safety and efficiency outcomes. It maintains conflict rates below the critical threshold of 0.76 conflicts/veh·km while increasing throughput by 50%–78% in simulated scenarios. The derived design relationships—LTZ ∝ V<sup>2</sup>/C (where V is the design speed and C is the capacity) and MECD = <i>f</i> (V, C, n) (where <i>n</i> is the number of adjacent lanes)—establish quantitative geometric optimization strategies for improving LTS configurations and provide implementable geometric guidance for expressway reconstruction and expansion applications.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6659242","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147569880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Traffic Flow Assignment on Expressways: A GCN-TODIM Framework Leveraging Large-Scale Trajectory Data","authors":"Hanlin Zhao, Tian Li, Mengmeng Zhang, Xiulian Chang, Guozheng Lv, Changxing Li, Xiaolong Ma, Chenyu Zhang","doi":"10.1155/atr/9736914","DOIUrl":"https://doi.org/10.1155/atr/9736914","url":null,"abstract":"<p>As expressway networks expand and road system complexity increases, the demand for accurate traffic assignment results continues to grow. However, traditional models struggle to capture the behavioral inertia of travelers, limiting assignment accuracy. This study proposes a novel traffic assignment model integrating graph convolutional networks (GCNs) with the multicriteria decision-making method TODIM. Vehicle trajectory data from expressway toll gantries enable GCN to extract route choice inertia, whereas TODIM incorporates travel time, distance, and cost to simulate dynamic path selection. An iterative optimization process achieves traffic flow equilibrium. The model was validated on expressway networks in Jinan, Taian, and Weifang, Shandong Provinces. Results show that during peak hours, the GCN-TODIM (G-T) model outperforms stochastic user equilibrium (SUE), bounded rational user equilibrium (BR-UE), and mean excess travel time (METT), reducing mean absolute error by 36.1%–52.4% and root-mean-square error by 27.3%–43.5% and improving <i>R</i><sup>2</sup> by 13.9%–16.6%. Similar improvements were seen off-peak, confirming strong accuracy and robustness, especially in networks with many segments and ramps. Overall, the G-T model offers an efficient, practical tool for traffic assignment, supporting more scientific highway planning and management strategies.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9736914","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147569655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bo Peng, Zhuangzhuang Gu, Xiaoyu Cai, Cailin Lei, Jian Qin
{"title":"Calculation Method for Traffic Capacity of Short-Distance Continuous Merging Areas of Expressways in Mountainous Urban","authors":"Bo Peng, Zhuangzhuang Gu, Xiaoyu Cai, Cailin Lei, Jian Qin","doi":"10.1155/atr/5801374","DOIUrl":"10.1155/atr/5801374","url":null,"abstract":"<p>In mountainous urban areas, road construction is often severely constrained by topographical conditions, leading to the frequent occurrence of short-distance continuous merging areas along expressways. Accurately calculating the capacity of such merging areas is critical for effective traffic management. However, existing studies mainly focus on capacity calculation for single merging areas, with limited attention given to short-distance continuous merging areas in mountainous urban contexts. This study proposes a specific capacity calculation model for short-distance continuous merging areas in mountainous urban. First, the definition of short-distance continuous merging areas is provided. Subsequently, drones were used to collect empirical data in short-distance continuous merging areas. The geometric and traffic flow characteristics of short-distance continuous merging areas were descriptively analyzed. Furthermore, the relationship between capacity and key factors was investigated, and a capacity calculation model was established based on these factors. The proposed model is validated using VISSIM simulation. The results show that (1) shorter merging point spacing tends to intensify traffic flow turbulence within continuous merging areas, (2) the capacity of short-distance continuous merging areas is primarily influenced by merging point spacing and merging ratios, and (3) the proposed calculation method demonstrates high accuracy, with a maximum absolute error of 2.77%. This study provides a methodological framework for calculating the capacity of short-distance continuous merging areas in mountainous urban contexts, providing a foundation for targeted traffic control strategies and informed interchange planning.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2026 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5801374","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147569198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}